Title: Constructing an effective ontology for web page recommendation

Authors: Satyaveer Singh; Mahendra Singh Aswal

Addresses: Department of Computer Science and Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana, India ' Department of Computer Science, Gurukul Kangri (Deemed to be University), Haridwar, India

Abstract: Web page recommendation is an approach for suggesting web pages to users based on their past navigational behaviour discovered from their web usage data. The knowledge of the user's behaviour is extracted from the web usage data with the use of any web usage mining technique similar to sequential rule mining. In order to improve web page recommendations, it is required to add semantic knowledge of web pages into the recommendation process. Ontology is a way of knowledge representation, which can be used to express the meaning of web pages in an efficient way. The paper proposes a semi-automatic ontology construction methodology in the context of a web page recommendation system based on web mining techniques. The constructed ontology is evaluated in terms of metrics and is found to be effective. A comparative analysis with the existing approaches was also elaborated.

Keywords: domain ontology; web content mining; web usage mining; web page recommendation system; non-taxonomic relationship; ontology enrichment.

DOI: 10.1504/IJWET.2021.117769

International Journal of Web Engineering and Technology, 2021 Vol.16 No.2, pp.86 - 112

Published online: 23 Sep 2021 *

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